Autor:	Dev, Soumyabrata, Savoy, Florian M., Lee, Yee Hui, Winkler, Stefan
Rok vydání:	2016
Předmět:	Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
DOI:	10.1109/LGRS.2016.2625303
Popis:	Color channel selection is essential for accurate segmentation of sky and clouds in images obtained from ground-based sky cameras. Most prior works in cloud segmentation use threshold based methods on color channels selected in an ad-hoc manner. In this letter, we propose the use of rough sets for color channel selection in visible-light images. Our proposed approach assesses color channels with respect to their contribution for segmentation, and identifies the most effective ones. Comment: Accepted in IEEE Geoscience and Remote Sensing Letters, 2016
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1611.00931 Zobrazit plný text záznamu View this record from Arxiv